Triple

T9749246
Position Surface form Disambiguated ID Type / Status
Subject Castelroussin E236396 entity
Predicate feminineForm P17779 FINISHED
Object Castelroussine E236396 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Castelroussine | Statement: [Castelroussin, feminineForm, Castelroussine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castelroussine
Context triple: [Castelroussin, feminineForm, Castelroussine]
  • A. Castelroussin chosen
    Castelroussin is the French demonym for an inhabitant of the city of Châteauroux in central France.
  • B. de Rochechouart
    De Rochechouart is the name of an old French noble family historically associated with the aristocracy and the royal court.
  • C. Château-Neuf
    Château-Neuf is a historic fortress in Bayonne, France, that once formed part of the city’s defensive stronghold along the Adour River.
  • D. Châteaurenard
    Châteaurenard is a commune in southern France known for its agricultural production and Provençal heritage, located near Avignon in the Bouches-du-Rhône department.
  • E. Tiffauges
    Tiffauges is a historic commune in western France, known for its medieval castle and scenic setting along the Sèvre Nantaise river.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f6a2f8c8190a6f6af6587ee90b8 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5a1a3b88190a1b4561a9a780e41 completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:23 p.m.